Software Alternatives, Accelerators & Startups

Chart.js VS BeakerX

Compare Chart.js VS BeakerX and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Chart.js logo Chart.js

Easy, object oriented client side graphs for designers and developers.

BeakerX logo BeakerX

Open Source Polyglot Data Science Tool
  • Chart.js Landing page
    Landing page //
    2023-03-13
  • BeakerX Landing page
    Landing page //
    2019-03-18

Chart.js features and specs

  • Open Source
    Chart.js is open source and free to use, which makes it accessible for both personal and commercial projects without any licensing costs.
  • Ease of Use
    Chart.js is known for its simple and easy-to-use API. Developers can quickly create charts by just including the library and writing minimal JavaScript.
  • Lightweight
    The library is relatively lightweight compared to other charting libraries, which helps in maintaining the performance of web applications.
  • Responsive Design
    Charts created with Chart.js are responsive by default, ensuring that they look good on all devices, including desktops, tablets, and mobile phones.
  • Variety of Chart Types
    Chart.js supports a variety of chart types including line, bar, radar, pie, doughnut, and polar area charts, providing flexibility for different data visualization needs.
  • Customization
    Developers can customize the appearance of charts extensively through Chart.js options such as colors, labels, and tooltips.
  • Active Community
    Chart.js has an active community and a strong support base, which means that developers can easily find help, tutorials, and plugins to enhance functionality.

Possible disadvantages of Chart.js

  • Limited Advanced Features
    While Chart.js is good for basic and intermediate charting needs, it may lack some advanced features and customizations offered by more complex charting libraries like D3.js.
  • Performance Issues with Large Datasets
    Chart.js can struggle with performance when dealing with very large datasets or complex visualizations, which can result in slower rendering times.
  • Learning Curve for Customization
    Although the basic usage is straightforward, achieving deeper customizations can involve a steeper learning curve as it requires understanding the underlying JavaScript and options.
  • Limited Interactivity
    Interactivity options with Chart.js are somewhat limited compared to other libraries that offer more advanced interactive features.
  • Dependency on Canvas
    Charts are rendered using the HTML5 canvas element, which may not be as flexible as SVG-based rendering used by some other libraries.

BeakerX features and specs

  • Polyglot Environment
    BeakerX supports multiple programming languages, allowing users to work with Java, Scala, Python, and more within the same notebook, making it versatile for data science and analytics tasks.
  • Interactive Widgets
    Provides a rich set of interactive widgets that facilitate complex data visualizations and enhance user interaction within Jupyter Notebooks.
  • Enhanced Table Display
    Offers improved table display features such as sorting, filtering, and highlighting, which help in better data exploration and analysis.
  • Extensibility
    The extensible architecture allows users to integrate custom tools and functionalities, allowing for tailored data processing workflows.
  • Seamless Integration with Jupyter
    Integrates smoothly with Jupyter, providing additional functionalities while maintaining compatibility with existing Jupyter workflows.

Possible disadvantages of BeakerX

  • Resource Intensive
    BeakerX can be resource-intensive, potentially leading to performance issues on systems with limited computational capabilities.
  • Complex Installation
    The installation process can be complex and may require additional dependencies, which can create barriers for new users.
  • Limited Community Support
    The community and user base for BeakerX may not be as large as other platforms, which can limit the availability of community-driven support and resources.
  • Learning Curve
    Users may face a learning curve when adapting to the multi-language environment, especially those used to single-language notebooks.
  • Potential Stability Issues
    Due to its vast array of features and integrations, users might encounter stability issues or bugs, especially with updates or new releases.

Chart.js videos

1.3: Graphing with Chart.js - Working With Data & APIs in JavaScript

More videos:

  • Tutorial - How to Build Ionic 4 Apps with Chart.js

BeakerX videos

GRAV LABS 16 INCH BEAKER BONG UNBOXING !!!!!

More videos:

  • Review - NEW TAG BEAKER BONG!!!!! 4k Unbox/Sesh
  • Review - Glasscity Bong Review - Glasscity Limited Edition Beaker Base Ice Bong

Category Popularity

0-100% (relative to Chart.js and BeakerX)
Charting Libraries
100 100%
0% 0
Data Science And Machine Learning
Data Visualization
100 100%
0% 0
Data Science Notebooks
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Chart.js and BeakerX

Chart.js Reviews

6 JavaScript Charting Libraries for Powerful Data Visualizations in 2023
Of the free libraries on this list, ECharts has the widest range of chart types available, second only to D3. Unlike D3, ECharts also ranks highly on the user-friendliness scale, although some users find ApexCharts and Chart.js even easier to use. You can check out some examples of basic charts on ECharts.
Source: embeddable.com
5 top picks for JavaScript chart libraries
Chart.js is a chart library that is available as a client-side JavaScript package. There are also derivatives for other frontend frameworks, like React, Vue, and Angular. It displays the chart on an HTML canvas element.
Top 10 JavaScript Charting Libraries for Every Data Visualization Need
Chart.js is a simple yet quite flexible JavaScript library for data viz, popular among web designers and developers. It’s a great basic solution for those who don’t need lots of chart types and customization features but want their charts to look neat, clear and informative at a glance.
Source: hackernoon.com
A Complete Overview of the Best Data Visualization Tools
Chart.js uses HTML5 Canvas for output, so it renders charts well across all modern browsers. Charts created are also responsive, so it’s great for creating visualizations that are mobile-friendly.
Source: www.toptal.com
The Best Data Visualization Tools - Top 30 BI Software
Chart.js is better for smaller chart projects. It’s open source and small in size, supporting six different types of charts: bar, line, pie, radar, doughnut, and polar. You can also add or remove any of these 6 types to reduce your footprint. Chart.js uses HTML5 Canvas and ships with polyfills for IE6/7 support. Chart.js offers the ability to create simple charts quickly.
Source: improvado.io

BeakerX Reviews

We have no reviews of BeakerX yet.
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Social recommendations and mentions

Based on our record, BeakerX should be more popular than Chart.js. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Chart.js mentions (1)

  • Chart library for Svelte?
    Https://chartjs.org works well, but you have to call the update function yourself if you want to do some reactive updates. Source: almost 4 years ago

BeakerX mentions (2)

What are some alternatives?

When comparing Chart.js and BeakerX, you can also consider the following products

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application

iPython - iPython provides a rich toolkit to help you make the most out of using Python interactively.

Google Charts - Interactive charts for browsers and mobile devices.

Kajero - Interactive JavaScript notebooks - create good-looking, responsive, interactive documents.